idempotency-patterns

To prevent duplicate side effects, enforce idempotency keys on your API endpoints. This caches and replays previous successful responses, ensuring operations like payment processing or event queue deliveries are safe to retry without executing twice.

Handling concurrent retries requires concurrency-safe idempotency stores. By applying per-operation key scoping and TTLs, the system deduplicates concurrent requests safely, preventing duplicate execution when payment processing endpoints receive overlapping retries.

Yes, you can use a database instead of Redis for an idempotency store. Both Redis- and database-backed stores are supported to cache and replay results, manage per-operation namespaces, and apply TTL strategies for safe deduplication.

To deduplicate webhook deliveries in an at-least-once scenario, apply idempotency keys and deduplication markers. This protects consumers by caching results and safely replaying responses when duplicate events or webhooks are delivered.

Yes, configuring per-operation namespaces and TTLs is needed for idempotency keys. This scoping ensures deduplication markers only apply to specific operations, while TTLs automatically expire cached responses to maintain a safe concurrency-safe environment.